• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.59-89
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• 2017

Changes in the public welfare attitudes are very important to the welfare politics and policy. Considering that variability of public welfare attitudes has been ignored in previous studies, we analyzed welfare attitudes changes at individual level in Korea. Using the longitudinal data from the Additional Survey of 2010/2013/2016 Korea Welfare Panel Survey, we analyzed the changes in public welfare attitudes during 2010th-2016th years. Major findings are as follows. First, one of the findings from analysis is that the public welfare attitudes are very active and dynamic in Korea. This finding is contradiction to the results of the previous researches that are point to the stability or inertia of the public welfare attitudes in western welfare states and also in Korea. Second, occurrences of the welfare attitudes change are related with various individual characteristics; income status, occupation status, age, region, sex, political ideology, etc. These results from this study on the welfare attitudes change suggest that dynamics of the Korea welfare politics in recent years reflected the dynamic changes in public welfare attitudes. And, they suggest that Korea welfare politics are transformed from the traditional classes welfare politics to the new welfare politics which are influenced by various interests of the socio-demographic groups.

• The Journal of Bigdata
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• v.6 no.1
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• pp.63-81
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• 2021

The performance of natural language processing is rapidly improving due to the recent development and application of machine learning and deep learning technologies, and as a result, the field of application is expanding. In particular, as the demand for analysis on unstructured text data increases, interest in NLP(Natural Language Processing) is also increasing. However, due to the complexity and difficulty of the natural language preprocessing process and machine learning and deep learning theories, there are still high barriers to the use of natural language processing. In this paper, for an overall understanding of NLP, by examining the main fields of NLP that are currently being actively researched and the current state of major technologies centered on machine learning and deep learning, We want to provide a foundation to understand and utilize NLP more easily. Therefore, we investigated the change of NLP in AI(artificial intelligence) through the changes of the taxonomy of AI technology. The main areas of NLP which consists of language model, text classification, text generation, document summarization, question answering and machine translation were explained with state of the art deep learning models. In addition, major deep learning models utilized in NLP were explained, and data sets and evaluation measures for performance evaluation were summarized. We hope researchers who want to utilize NLP for various purposes in their field be able to understand the overall technical status and the main technologies of NLP through this paper.

• Education of Primary School Mathematics
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• v.25 no.2
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• pp.179-195
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• 2022

Mathematical communication competency, one of the six mathematical competencies emphasized in the latest mathematics curriculum, plays an important role both as a means and as a goal for students to learn mathematics. Therefore, it is meaningful to find instructional methods to improve students' mathematical communication competency and analyze their communication competency in detail. Given this background, this study analyzed 64 sixth graders' mathematical communication competency after they participated in the lessons of fraction division emphasizing mathematical communication. A written assessment for this study was developed with a focus on the four sub-elements of mathematical communication (i.e., understanding mathematical representations, developing and transforming mathematical representations, representing one's ideas, and understanding others' ideas). The results of this study showed that students could understand and represent the principle of fraction division in various mathematical representations. The students were more proficient in representing their ideas with mathematical expressions and solving them than doing with visual models. They could use appropriate mathematical terms and symbols in representing their ideas and understanding others' ideas. This paper closes with some implications on how to foster students' mathematical communication competency while teaching elementary mathematics.

• Journal of Science Education
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• v.46 no.1
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• pp.1-16
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• 2022

The purpose of this study is to explore learning progressions for global warming at middle school level. For this purpose, we conducted a construct modeling approach that specifies constructs, item designs, outcome spaces, and measurement model steps from April to October, 2021. In order to develop student assessment items, we analyzed the 2015 revised curriculum and textbooks of middle school and categorized a concept hierarchy for each construct to create a construct map. The assessment items were developed into multiple-choice, short answer, and essay questions according to the selected constructs to strengthen the linkage between the constructs and the items. Based on the three-step grading criteria for each item, an online assessment of 21 minor items developed for middle school students show that many students met 'high' level, but none met 'low' level. In this manner, the initial set lower anchor was reset to level 0, the original set upper anchor was lowered from level 4 to level 3, and the hypothetical learning progression for global warming was presented in the following order: phenomenal, conceptual, and mechanical understandings. The results of the research have raised implications for reorganizing the next science curriculum and improving the assessment system.

• Information Systems Review
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• v.21 no.2
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• pp.1-27
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• 2019

It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.

• Knowledge Management Research
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• v.25 no.1
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• pp.89-109
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• 2024

The development of digital technology has given rise to a new service model: self-service. This model introduces the concept of "digital shadow work", in which consumers conduct unpaid behind-the-scenes digital tasks instead of employees. While consumers are engaging in increasingly more digital shadow work in self-service environments, they are unaware of their unpaid labor. This raises concerns about consumer rights and businesses' long-term sustainability and health. This study aims to reveal the psychological awareness factors that influence consumers' decisions to engage in digital shadow work in self-service environments. This exploratory qualitative study utilizes a grounded theory approach and semi-structured interviews to reveal the psychological awareness factors that contribute to consumers' decision to engage in digital shadow work. By revealing the psychological awareness of decision-making factors, this study enhances consumer's understanding and awareness of digital shadow work, which helps increase their awareness of self-protection in the context of self-service technologies. Additionally, understanding consumers' decision-making psychology is crucial for non-face-to-face self-service technology companies and provides a theoretical basis for sustainable and healthy business development.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.5
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• pp.339-350
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• 2024

In construction sites, the engine of heavy machinery is tested by practitioners who manually adjust engine settings and directly measure the output. This process has consistently raised concerns regarding time costs and the risk of incidents. To address these issues, simulations of heavy equipment are conducted using Speedgoat and the Simulink API. However, due to the varying compatibility of different versions of Speedgoat hardware and Simulink API, engineers need to have a comprehensive understanding of various Simulink APIs. It is practically challenging for engineers, who must have a deep understanding of heavy equipment structures, to also possess programming skills including API usage. Thus, this paper proposes a tool that allows inputting configuration values for heavy equipment simulation and visually outputs and logs the simulation results. The proposed tool provides functionalities to deliver configuration values, such as engine settings of heavy equipment, to the simulator model and to monitor and log the resulting simulation outputs. These functionalities have been validated through scenarios. By using the developed tool, engineers are expected to reduce the burden of learning Simulink API and focus more on understanding the structure of heavy equipment. Additionally, it is anticipated that this tool will provide a more efficient and safer working environment for heavy equipment testing on construction sites.

• Journal of Educational Research in Mathematics
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• v.26 no.1
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• pp.47-62
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• 2016

Cultivating mathematical creativity is one of the aims in the recently revised mathematics curricular. However, there have been lack of researches on how to nurture mathematical creativity for ordinary students. Perspective of Realistic Mathematics Education(RME), which pursues education of creative person as the ultimate goal of mathematics education, could be useful for developing principles and methods for cultivating mathematical creativity. This study reanalyzes RME from the points of view in mathematical creativity education. Major findings are followed. First, students should have opportunities for mathematical creation through mathematization, while seeking and creating certainty. Second, it is vital to begin with realistic contexts to guarantee mathematical creation by students, in which students can imagine or think. Third, students can create mathematics in realistic contexts by modelling. Fourth, students create the meaning of 'model of(MO)', which models the given context, the meaning of 'model for(MF)', which models formal mathematics. Then, students create MOs and MFs that are equivalent to the intial MO and MF given by textbook or teacher. Flexibility, fluency, and novelty could be employed to evaluate the MOs and the MFs created by students. Fifth, cultivation of mathematical creativity can be supported from development of local instructional theories by thought experiment, its application, and reflection. In conclusion, to employ the education model of cultivating mathematical creativity by RME drawn in this study could be reasonable when design mathematics lessons as well as mathematics curriculum to include mathematical creativity as one of goals.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.38 no.3
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• pp.219-224
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• 2012

European Union prohibited the marketing of cosmetic products containing constituents that have been examined through animal experiments. Thus, non-animal test models are needed to replace animal experiments. The reconstructed skin models are important as a test system for cosmetic, pharmaceutical, and medical device safety testing. In the present study, we tried to develop an optimal skin equivalent model containing basement membrane and epidermis. For this purpose, we used mesenchymal stem cells (MSCs) and/or preadipocytes as well as fibroblasts as the dermal matrix cells. The formation of basement membrane and epidermis was verified by immunohistochemical stains. Among various models, the epidermis was thickest when MSCs were used in the dermal matrix. Furthermore, PCNA and involucrin distribution showed that dermal matrix with MSCs resembled human skin. Therefore, skin equivalents with MSCs could be developed as a non-animal test model to replace animal experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.646-661
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• 2020

Technological innovations and fast-growing new internet businesses are changing the paradigm of traditional business management, having various impacts on society. The development of internet technology is also increasing the adverse effects on technological innovation, and in particular, cybercrime related to computers continues to increase with each technological innovation. The purpose of this study is to construct a cybercrime business model (CBM) by using the business model canvas (BMC) theory for cybercrime in order to reduce cybercrime, and this model is applied and analyzed based on types of Korean cybercrimes. For this study, a systematic literature review was conducted to determine the components of cybercrime, and 60 relevant documents were classified through a keyword-based literature search. Besides, qualitative research in the classified literature has led to the derivation of cybercrime into 18 sub-blocks and nine building blocks. This study applies BMC theory to this derivation of cybercrime and builds the CBM through proper redefinition. Lastly, the developed CBM could be applied to cybercrime in Korea to help cyber incident-response staff understand cybercrimes analytically. This study contributes to the development of a new analysis framework that can reduce cybercrime.